AI boosts students' performance by 127% but not their thinking

AI is making students faster and more confident, but not always deeper learners. The latest OECD Digital Education Outlook 2026 warns that polished output can hide weak understanding. So the real question is no longer whether students can use AI: it is whether they can still think without it.

In Short

• OECD says AI can create polished work without genuine student understanding
• A Türkiye trial showed gains with AI vanished after support was withdrawn
• Students using AI later performed worse than peers who never used it

Imagine this.

You ask AI to explain a physics concept. It does. You understand it instantly. Next, it solves your assignment, helps polish your answers, and even tells you where you went wrong.

It feels like you've learnt something.

But have you?

This question is becoming one of the biggest debates in education today.

A new OECD Digital Education Outlook 2026 report has found something both exciting and worrying. Students using AI tools can improve their performance by up to 127% in tasks such as writing and problem-solving. But when that AI support is taken away, performance can fall by as much as 17%.

The report calls this the 'mirage of false mastery', a situation where students appear highly capable because AI is doing part of the thinking, while their own understanding remains surprisingly shallow.

The concern is not that students are using AI. The concern is that many may be confusing better output with better learning.

WHEN GOOD MARKS STOP TELLING THE WHOLE STORY

For decades, learning followed a familiar pattern. You attended class, revised your notes, solved problems, made mistakes, and gradually improved. The struggle itself helped build understanding.

AI has changed that process almost overnight.

Today, students can generate essays, debug code, summarise research papers and solve numerical questions in seconds. Learning has become faster, smoother and far more efficient.

But education experts say efficiency is not the same as mastery.

The OECD report points to growing evidence that AI often augments performance without strengthening long-term skills. In one large randomised study involving around 1,600 students, researchers found that learners produced significantly better peer feedback while using AI.

Yet once the tool was removed, those improvements largely disappeared. The students had performed better, but they had not necessarily learnt better.

This gap is what worries educators.

As Arindam Mukherjee, Co-founder and CEO of NextLeap, puts it, "The OECD refers to this phenomenon as 'false mastery', where learners demonstrate proficiency in an AI-enabled environment but struggle to demonstrate independent proficiency and problem-solving outside that environment."

ARE WE LEARNING, OR JUST BORROWING INTELLIGENCE?

Think about how students now begin homework.

Not with a textbook. Not with classroom notes. But with an AI prompt.

The answer arrives in seconds. It is well-written, structured and often better than what many students could produce on their own.

The danger is subtle.

If learners stop questioning why an answer is correct and instead focus only on submitting it, the brain slowly outsources the hardest part of learning: thinking.

Research cited by the OECD also found that students facing heavy workloads increasingly turned to AI simply to cope. While it saved time, greater dependence was also associated with higher procrastination, weaker memory and poorer academic performance.

In another review of more than 100 experimental studies, researchers found that humans working with AI did not automatically outperform either humans or AI working alone, particularly in decision-making tasks.

Technology, it turns out, is not a shortcut to expertise.

WHY EMPLOYERS ARE WATCHING THIS CLOSELY

The conversation extends far beyond classrooms. Employers today expect graduates to use AI. But they also expect something AI cannot provide on its own: judgement.

Can a graduate solve a problem when the answer is not obvious? Can they question an AI-generated response? Can they spot mistakes, biases or missing information?

These are becoming the skills that matter most.

Mukherjee says organisations increasingly need people who can think critically and innovate independently. Otherwise, workplaces risk becoming full of employees who can generate answers quickly but struggle when technology cannot guide them.

"The future of upskilling will not be defined solely by access to AI technology, but by how well learners can apply what they have learnt independently," he says.

THE CLASSROOM ITSELF MAY NEED TO CHANGE

If AI has changed learning, assessment cannot stay the same. Many schools still reward the final answer. But in an AI-powered world, educators say they must begin rewarding the process behind it.

Rooj believes classrooms should move beyond testing memory and instead measure critical thinking, problem-solving and real-world application.

"The future of education is not about preventing AI's rise but about ensuring that students can perform both with and without it," he says.

Rather than asking whether AI improves task performance, schools should ask whether it helps students develop durable knowledge that remains even after the technology is switched off.

That means designing assignments where students explain their reasoning, defend their conclusions, evaluate AI-generated responses and reflect on their own thinking.

THE REAL SKILL IS KNOWING WHEN NOT TO ASK AI

Interestingly, the OECD does not argue against AI. Instead, it says, tomorrow's learners will need a new set of Hybrid Human-AI skills.

These include knowing when AI is useful, writing effective prompts, verifying AI-generated information, recognising bias, protecting privacy, thinking creatively and, perhaps most importantly, recognising when they are relying on AI too much.

Because the goal of education has never been to produce perfect assignments. It has always been to produce capable people.

AI can certainly make students faster. It can even make them look smarter.

But real learning still begins at the moment when the screen goes dark, and the student has to think for themselves.

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